id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_lv52nrsz4zfrjcyfjlzdhqkru4	Alexei J. Drummond	Bayesian Phylogenetics with BEAUti and the BEAST 1.7	2012	6	.pdf	application/pdf	2832	274	52	Computational evolutionary biology, statistical phylogenetics, and coalescent-based population genetics are becoming increasingly central to the analysis and understanding of molecular sequence data. We present the Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package version 1.7, which implements a family of Markov chain Monte Carlo (MCMC) algorithms for Bayesian phylogenetic inference, divergence time dating, coalescent analysis, phylogeography, and Evolutionary Analysis Utility (BEAUti) that enables access to advanced models for molecular sequence and phenotypic trait portions of the phylogenetic model space to known values, including the tree topology, and perform conditional Multiple data partitions may reflect separate loci for simultaneous inference of genealogies and species trees (Heled Discordance between individual gene trees that share a phylogenetic history results from incomplete lineage sorting The possibility of incomplete lineage sorting can be appreciated in figure 3c, in which a representative gene tree is embedded inside the most probable species Bayesian inference of species trees from	./cache/work_lv52nrsz4zfrjcyfjlzdhqkru4.pdf	./txt/work_lv52nrsz4zfrjcyfjlzdhqkru4.txt